[[jdbc-object]]
= Modeling JDBC Operations as Java Objects

The `org.springframework.jdbc.object` package contains classes that let you access
the database in a more object-oriented manner. As an example, you can run queries
and get the results back as a list that contains business objects with the relational
column data mapped to the properties of the business object. You can also run stored
procedures and run update, delete, and insert statements.

[NOTE]
====
Many Spring developers believe that the various RDBMS operation classes described below
(with the exception of the xref:data-access/jdbc/object.adoc#jdbc-StoredProcedure[`StoredProcedure`] class) can often
be replaced with straight `JdbcTemplate` calls. Often, it is simpler to write a DAO
method that calls a method on a `JdbcTemplate` directly (as opposed to
encapsulating a query as a full-blown class).

However, if you are getting measurable value from using the RDBMS operation classes,
you should continue to use these classes.
====


[[jdbc-SqlQuery]]
== Understanding `SqlQuery`

`SqlQuery` is a reusable, thread-safe class that encapsulates an SQL query. Subclasses
must implement the `newRowMapper(..)` method to provide a `RowMapper` instance that can
create one object per row obtained from iterating over the `ResultSet` that is created
during the execution of the query. The `SqlQuery` class is rarely used directly, because
the `MappingSqlQuery` subclass provides a much more convenient implementation for
mapping rows to Java classes. Other implementations that extend `SqlQuery` are
`MappingSqlQueryWithParameters` and `UpdatableSqlQuery`.


[[jdbc-MappingSqlQuery]]
== Using `MappingSqlQuery`

`MappingSqlQuery` is a reusable query in which concrete subclasses must implement the
abstract `mapRow(..)` method to convert each row of the supplied `ResultSet` into an
object of the type specified. The following example shows a custom query that maps the
data from the `t_actor` relation to an instance of the `Actor` class:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	public class ActorMappingQuery extends MappingSqlQuery<Actor> {

		public ActorMappingQuery(DataSource ds) {
			super(ds, "select id, first_name, last_name from t_actor where id = ?");
			declareParameter(new SqlParameter("id", Types.INTEGER));
			compile();
		}

		@Override
		protected Actor mapRow(ResultSet rs, int rowNumber) throws SQLException {
			Actor actor = new Actor();
			actor.setId(rs.getLong("id"));
			actor.setFirstName(rs.getString("first_name"));
			actor.setLastName(rs.getString("last_name"));
			return actor;
		}
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	class ActorMappingQuery(ds: DataSource) : MappingSqlQuery<Actor>(ds, "select id, first_name, last_name from t_actor where id = ?") {

		init {
			declareParameter(SqlParameter("id", Types.INTEGER))
			compile()
		}

		override fun mapRow(rs: ResultSet, rowNumber: Int) = Actor(
				rs.getLong("id"),
				rs.getString("first_name"),
				rs.getString("last_name")
		)
	}

----
======

The class extends `MappingSqlQuery` parameterized with the `Actor` type. The constructor
for this customer query takes a `DataSource` as the only parameter. In this
constructor, you can call the constructor on the superclass with the `DataSource` and the SQL
that should be run to retrieve the rows for this query. This SQL is used to
create a `PreparedStatement`, so it may contain placeholders for any parameters to be
passed in during execution. You must declare each parameter by using the `declareParameter`
method passing in an `SqlParameter`. The `SqlParameter` takes a name, and the JDBC type
as defined in `java.sql.Types`. After you define all parameters, you can call the
`compile()` method so that the statement can be prepared and later run. This class is
thread-safe after it is compiled, so, as long as these instances are created when the DAO
is initialized, they can be kept as instance variables and be reused. The following
example shows how to define such a class:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	private ActorMappingQuery actorMappingQuery;

	@Autowired
	public void setDataSource(DataSource dataSource) {
		this.actorMappingQuery = new ActorMappingQuery(dataSource);
	}

	public Actor getActor(Long id) {
		return actorMappingQuery.findObject(id);
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	private val actorMappingQuery = ActorMappingQuery(dataSource)

	fun getActor(id: Long) = actorMappingQuery.findObject(id)
----
======

The method in the preceding example retrieves the actor with the `id` that is passed in as the
only parameter. Since we want only one object to be returned, we call the `findObject` convenience
method with the `id` as the parameter. If we had instead a query that returned a
list of objects and took additional parameters, we would use one of the `execute`
methods that takes an array of parameter values passed in as varargs. The following
example shows such a method:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	public List<Actor> searchForActors(int age, String namePattern) {
		return actorSearchMappingQuery.execute(age, namePattern);
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	fun searchForActors(age: Int, namePattern: String) =
				actorSearchMappingQuery.execute(age, namePattern)
----
======


[[jdbc-SqlUpdate]]
== Using `SqlUpdate`

The `SqlUpdate` class encapsulates an SQL update. As with a query, an update object is
reusable, and, as with all `RdbmsOperation` classes, an update can have parameters and is
defined in SQL. This class provides a number of `update(..)` methods analogous to the
`execute(..)` methods of query objects. The `SqlUpdate` class is concrete. It can be
subclassed -- for example, to add a custom update method.
However, you do not have to subclass the `SqlUpdate`
class, since it can easily be parameterized by setting SQL and declaring parameters.
The following example creates a custom update method named `execute`:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	import java.sql.Types;
	import javax.sql.DataSource;
	import org.springframework.jdbc.core.SqlParameter;
	import org.springframework.jdbc.object.SqlUpdate;

	public class UpdateCreditRating extends SqlUpdate {

		public UpdateCreditRating(DataSource ds) {
			setDataSource(ds);
			setSql("update customer set credit_rating = ? where id = ?");
			declareParameter(new SqlParameter("creditRating", Types.NUMERIC));
			declareParameter(new SqlParameter("id", Types.NUMERIC));
			compile();
		}

		/**
		 * @param id for the Customer to be updated
		 * @param rating the new value for credit rating
		 * @return number of rows updated
		 */
		public int execute(int id, int rating) {
			return update(rating, id);
		}
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	import java.sql.Types
	import javax.sql.DataSource
	import org.springframework.jdbc.core.SqlParameter
	import org.springframework.jdbc.`object`.SqlUpdate

	class UpdateCreditRating(ds: DataSource) : SqlUpdate() {

		init {
			setDataSource(ds)
			sql = "update customer set credit_rating = ? where id = ?"
			declareParameter(SqlParameter("creditRating", Types.NUMERIC))
			declareParameter(SqlParameter("id", Types.NUMERIC))
			compile()
		}

		/**
		 * @param id for the Customer to be updated
		 * @param rating the new value for credit rating
		 * @return number of rows updated
		 */
		fun execute(id: Int, rating: Int): Int {
			return update(rating, id)
		}
	}
----
======


[[jdbc-StoredProcedure]]
== Using `StoredProcedure`

The `StoredProcedure` class is an `abstract` superclass for object abstractions of RDBMS
stored procedures.

The inherited `sql` property is the name of the stored procedure in the RDBMS.

To define a parameter for the `StoredProcedure` class, you can use an `SqlParameter` or one
of its subclasses. You must specify the parameter name and SQL type in the constructor,
as the following code snippet shows:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	new SqlParameter("in_id", Types.NUMERIC),
	new SqlOutParameter("out_first_name", Types.VARCHAR),
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	SqlParameter("in_id", Types.NUMERIC),
	SqlOutParameter("out_first_name", Types.VARCHAR),
----
======

The SQL type is specified using the `java.sql.Types` constants.

The first line (with the `SqlParameter`) declares an IN parameter. You can use IN parameters
both for stored procedure calls and for queries using the `SqlQuery` and its
subclasses (covered in xref:data-access/jdbc/object.adoc#jdbc-SqlQuery[Understanding `SqlQuery`]).

The second line (with the `SqlOutParameter`) declares an `out` parameter to be used in the
stored procedure call. There is also an `SqlInOutParameter` for `InOut` parameters
(parameters that provide an `in` value to the procedure and that also return a value).

For `in` parameters, in addition to the name and the SQL type, you can specify a
scale for numeric data or a type name for custom database types. For `out` parameters,
you can provide a `RowMapper` to handle mapping of rows returned from a `REF` cursor.
Another option is to specify an `SqlReturnType` that lets you define customized
handling of the return values.

The next example of a simple DAO uses a `StoredProcedure` to call a function
(`sysdate()`), which comes with any Oracle database. To use the stored procedure
functionality, you have to create a class that extends `StoredProcedure`. In this
example, the `StoredProcedure` class is an inner class. However, if you need to reuse the
`StoredProcedure`, you can declare it as a top-level class. This example has no input
parameters, but an output parameter is declared as a date type by using the
`SqlOutParameter` class. The `execute()` method runs the procedure and extracts the
returned date from the results `Map`. The results `Map` has an entry for each declared
output parameter (in this case, only one) by using the parameter name as the key.
The following listing shows our custom StoredProcedure class:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	import java.sql.Types;
	import java.util.Date;
	import java.util.HashMap;
	import java.util.Map;
	import javax.sql.DataSource;
	import org.springframework.beans.factory.annotation.Autowired;
	import org.springframework.jdbc.core.SqlOutParameter;
	import org.springframework.jdbc.object.StoredProcedure;

	public class StoredProcedureDao {

		private GetSysdateProcedure getSysdate;

		@Autowired
		public void init(DataSource dataSource) {
			this.getSysdate = new GetSysdateProcedure(dataSource);
		}

		public Date getSysdate() {
			return getSysdate.execute();
		}

		private class GetSysdateProcedure extends StoredProcedure {

			private static final String SQL = "sysdate";

			public GetSysdateProcedure(DataSource dataSource) {
				setDataSource(dataSource);
				setFunction(true);
				setSql(SQL);
				declareParameter(new SqlOutParameter("date", Types.DATE));
				compile();
			}

			public Date execute() {
				// the 'sysdate' sproc has no input parameters, so an empty Map is supplied...
				Map<String, Object> results = execute(new HashMap<String, Object>());
				Date sysdate = (Date) results.get("date");
				return sysdate;
			}
		}

	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	import java.sql.Types
	import java.util.Date
	import java.util.Map
	import javax.sql.DataSource
	import org.springframework.jdbc.core.SqlOutParameter
	import org.springframework.jdbc.object.StoredProcedure

	class StoredProcedureDao(dataSource: DataSource) {

		private val SQL = "sysdate"

		private val getSysdate = GetSysdateProcedure(dataSource)

		val sysdate: Date
			get() = getSysdate.execute()

		private inner class GetSysdateProcedure(dataSource: DataSource) : StoredProcedure() {

			init {
				setDataSource(dataSource)
				isFunction = true
				sql = SQL
				declareParameter(SqlOutParameter("date", Types.DATE))
				compile()
			}

			fun execute(): Date {
				// the 'sysdate' sproc has no input parameters, so an empty Map is supplied...
				val results = execute(mutableMapOf<String, Any>())
				return results["date"] as Date
			}
		}
	}
----
======

The following example of a `StoredProcedure` has two output parameters (in this case,
Oracle REF cursors):

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	import java.util.HashMap;
	import java.util.Map;
	import javax.sql.DataSource;
	import oracle.jdbc.OracleTypes;
	import org.springframework.jdbc.core.SqlOutParameter;
	import org.springframework.jdbc.object.StoredProcedure;

	public class TitlesAndGenresStoredProcedure extends StoredProcedure {

		private static final String SPROC_NAME = "AllTitlesAndGenres";

		public TitlesAndGenresStoredProcedure(DataSource dataSource) {
			super(dataSource, SPROC_NAME);
			declareParameter(new SqlOutParameter("titles", OracleTypes.CURSOR, new TitleMapper()));
			declareParameter(new SqlOutParameter("genres", OracleTypes.CURSOR, new GenreMapper()));
			compile();
		}

		public Map<String, Object> execute() {
			// again, this sproc has no input parameters, so an empty Map is supplied
			return super.execute(new HashMap<String, Object>());
		}
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	import java.util.HashMap
	import javax.sql.DataSource
	import oracle.jdbc.OracleTypes
	import org.springframework.jdbc.core.SqlOutParameter
	import org.springframework.jdbc.`object`.StoredProcedure

	class TitlesAndGenresStoredProcedure(dataSource: DataSource) : StoredProcedure(dataSource, SPROC_NAME) {

		companion object {
			private const val SPROC_NAME = "AllTitlesAndGenres"
		}

		init {
			declareParameter(SqlOutParameter("titles", OracleTypes.CURSOR, TitleMapper()))
			declareParameter(SqlOutParameter("genres", OracleTypes.CURSOR, GenreMapper()))
			compile()
		}

		fun execute(): Map<String, Any> {
			// again, this sproc has no input parameters, so an empty Map is supplied
			return super.execute(HashMap<String, Any>())
		}
	}
----
======

Notice how the overloaded variants of the `declareParameter(..)` method that have been
used in the `TitlesAndGenresStoredProcedure` constructor are passed `RowMapper`
implementation instances. This is a very convenient and powerful way to reuse existing
functionality. The next two examples provide code for the two `RowMapper` implementations.

The `TitleMapper` class maps a `ResultSet` to a `Title` domain object for each row in
the supplied `ResultSet`, as follows:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	import java.sql.ResultSet;
	import java.sql.SQLException;
	import com.foo.domain.Title;
	import org.springframework.jdbc.core.RowMapper;

	public final class TitleMapper implements RowMapper<Title> {

		public Title mapRow(ResultSet rs, int rowNum) throws SQLException {
			Title title = new Title();
			title.setId(rs.getLong("id"));
			title.setName(rs.getString("name"));
			return title;
		}
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	import java.sql.ResultSet
	import com.foo.domain.Title
	import org.springframework.jdbc.core.RowMapper

	class TitleMapper : RowMapper<Title> {

		override fun mapRow(rs: ResultSet, rowNum: Int) =
				Title(rs.getLong("id"), rs.getString("name"))
	}
----
======

The `GenreMapper` class maps a `ResultSet` to a `Genre` domain object for each row in
the supplied `ResultSet`, as follows:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	import java.sql.ResultSet;
	import java.sql.SQLException;
	import com.foo.domain.Genre;
	import org.springframework.jdbc.core.RowMapper;

	public final class GenreMapper implements RowMapper<Genre> {

		public Genre mapRow(ResultSet rs, int rowNum) throws SQLException {
			return new Genre(rs.getString("name"));
		}
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	import java.sql.ResultSet
	import com.foo.domain.Genre
	import org.springframework.jdbc.core.RowMapper

	class GenreMapper : RowMapper<Genre> {

		override fun mapRow(rs: ResultSet, rowNum: Int): Genre {
			return Genre(rs.getString("name"))
		}
	}
----
======

To pass parameters to a stored procedure that has one or more input parameters in its
definition in the RDBMS, you can code a strongly typed `execute(..)` method that would
delegate to the untyped `execute(Map)` method in the superclass, as the following example shows:

[tabs]
======
Java::
+
[source,java,indent=0,subs="verbatim,quotes",role="primary"]
----
	import java.sql.Types;
	import java.util.Date;
	import java.util.HashMap;
	import java.util.Map;
	import javax.sql.DataSource;
	import oracle.jdbc.OracleTypes;
	import org.springframework.jdbc.core.SqlOutParameter;
	import org.springframework.jdbc.core.SqlParameter;
	import org.springframework.jdbc.object.StoredProcedure;

	public class TitlesAfterDateStoredProcedure extends StoredProcedure {

		private static final String SPROC_NAME = "TitlesAfterDate";
		private static final String CUTOFF_DATE_PARAM = "cutoffDate";

		public TitlesAfterDateStoredProcedure(DataSource dataSource) {
			super(dataSource, SPROC_NAME);
			declareParameter(new SqlParameter(CUTOFF_DATE_PARAM, Types.DATE);
			declareParameter(new SqlOutParameter("titles", OracleTypes.CURSOR, new TitleMapper()));
			compile();
		}

		public Map<String, Object> execute(Date cutoffDate) {
			Map<String, Object> inputs = new HashMap<String, Object>();
			inputs.put(CUTOFF_DATE_PARAM, cutoffDate);
			return super.execute(inputs);
		}
	}
----

Kotlin::
+
[source,kotlin,indent=0,subs="verbatim,quotes",role="secondary"]
----
	import java.sql.Types
	import java.util.Date
	import javax.sql.DataSource
	import oracle.jdbc.OracleTypes
	import org.springframework.jdbc.core.SqlOutParameter
	import org.springframework.jdbc.core.SqlParameter
	import org.springframework.jdbc.`object`.StoredProcedure

	class TitlesAfterDateStoredProcedure(dataSource: DataSource) : StoredProcedure(dataSource, SPROC_NAME) {

		companion object {
			private const val SPROC_NAME = "TitlesAfterDate"
			private const val CUTOFF_DATE_PARAM = "cutoffDate"
		}

		init {
			declareParameter(SqlParameter(CUTOFF_DATE_PARAM, Types.DATE))
			declareParameter(SqlOutParameter("titles", OracleTypes.CURSOR, TitleMapper()))
			compile()
		}

		fun execute(cutoffDate: Date) = super.execute(
				mapOf<String, Any>(CUTOFF_DATE_PARAM to cutoffDate))
	}
----
======



